Drop 0.11.0 support (#4377)

There is a lot hack code for v0.11.0, which makes the code hard to
upgrade to newer vLLM version. Since v0.11.0 will release soon. Let's
drop v0.11.0 support first. Then we'll upgrade to v0.11.2 soon.


- vLLM version: v0.11.0
- vLLM main:
2918c1b49c

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
This commit is contained in:
wangxiyuan
2025-11-24 17:08:20 +08:00
committed by GitHub
parent 41ddb06554
commit a1f142b7ad
80 changed files with 467 additions and 1755 deletions

View File

@@ -9,6 +9,7 @@ from vllm.config import (CacheConfig, KVTransferConfig, ModelConfig,
from vllm.multimodal.inputs import (MultiModalFeatureSpec,
MultiModalKwargsItem, PlaceholderRange)
from vllm.sampling_params import SamplingParams
from vllm.utils.hashing import sha256
from vllm.v1.core.kv_cache_utils import (get_request_block_hasher,
init_none_hash)
from vllm.v1.core.sched.output import SchedulerOutput
@@ -21,12 +22,6 @@ from vllm.v1.structured_output import StructuredOutputManager
from tests.ut.base import TestBase
from vllm_ascend.core.scheduler import AscendScheduler
from vllm_ascend.core.scheduler_dynamic_batch import SchedulerDynamicBatch
from vllm_ascend.utils import vllm_version_is
if vllm_version_is("0.11.0"):
from vllm.utils import sha256
else:
from vllm.utils.hashing import sha256
EOS_TOKEN_ID = 50256
MODEL = "Qwen3-0.6B"
@@ -181,23 +176,13 @@ class TestAscendScheduler(TestBase):
)
cache_config.num_gpu_blocks = 10000
if vllm_version_is("0.11.0"):
scheduler = AscendScheduler(
vllm_config=vllm_config,
kv_cache_config=kv_cache_config,
log_stats=True,
structured_output_manager=MagicMock(
spec=StructuredOutputManager),
)
else:
scheduler = AscendScheduler(
vllm_config=vllm_config,
kv_cache_config=kv_cache_config,
log_stats=True,
block_size=block_size,
structured_output_manager=MagicMock(
spec=StructuredOutputManager),
)
scheduler = AscendScheduler(
vllm_config=vllm_config,
kv_cache_config=kv_cache_config,
log_stats=True,
block_size=block_size,
structured_output_manager=MagicMock(spec=StructuredOutputManager),
)
should_advance = MagicMock()
should_advance.return_value = False